Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Helpers--Roofers:
44.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forHelpers--Roofers
$44,160 median salary•600 annual openings•SOC Code: 47-3016.00
Helpers--Roofers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Helpers on roofing crews earn the "Somewhat Resilient" label because the physical, hands-on nature of the work (hauling materials, clearing debris, and working on unpredictable outdoor job sites) is genuinely hard for today's AI and robots to handle, keeping human helpers in high demand. At the same time, real changes are coming: drones and AI tools are already handling inspections and measurements, and robots like Rufus can now install shingles faster than a human, so some tasks helpers once did by hand are shifting.
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This role is somewhat resilient
Helpers on roofing crews earn the "Somewhat Resilient" label because the physical, hands-on nature of the work (hauling materials, clearing debris, and working on unpredictable outdoor job sites) is genuinely hard for today's AI and robots to handle, keeping human helpers in high demand. At the same time, real changes are coming: drones and AI tools are already handling inspections and measurements, and robots like Rufus can now install shingles faster than a human, so some tasks helpers once did by hand are shifting.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Helpers--Roofers
Updated Quarterly

How is AI changing Helpers--Roofers jobs?
If you're worried that a robot is about to take over the helper's job on a roofing crew, take a breath — the evidence says that day is still a long way off. A large Microsoft study covered by industry trade press [1] ranked "helpers–roofing" as #25 on the list of the 40 occupations least exposed to AI, with the researchers noting that the least-impacted occupations include ones that require physically working with people, operating or monitoring machinery, and other manual labor. Most of the tasks helpers do — hauling shingles up a ladder, sweeping debris, clearing gutters, heating tar — are physical, outdoors, and constantly changing, which is exactly where today's AI struggles.
That doesn't mean nothing is changing. AI is already being used for quicker and more accurate inspections, measurements and estimates, so helpers may spend less time locating worn areas by hand and more time following a drone's map. On the robotics side, Renovate Robotics' "Rufus" [2] uses a cable-and-computer-vision system to install shingles alongside crews rather than replace them, and since its debut in 2023, Rufus has improved dramatically, with performance nearly quadrupling and the robot now 50% faster than human installers, while Renovate Robotics plans to double that speed again by the end of the year.
Trade associations are also leaning in — the National Roofing Contractors Association launched "NRCA AI" [3] in May 2026 to help members quickly search technical roofing guidance. So far, this looks much more like augmentation — tools that help the crew — than automation replacing the helper.
Sources

How fast is AI adoption growing for Helpers--Roofers?
Adoption in the office is moving fast, but adoption on the roof is moving slowly, and both trends are good news for helpers. A ServiceTitan industry report [1] covered by Roofing Contractor found that adoption of AI among commercial contractors surged from 17% to 38% in a single year, with AI being applied to core functions such as cost estimation and budgeting (24%) and bid management (22%). Those are back-office tasks — not the physical helper work.
The main drivers pushing contractors toward any automation are cost and worker scarcity. Rising labor and overhead costs, material price increases and ongoing workforce shortages continue to challenge margins, with 71% of contractors reporting rising wages [1], up from 55% the previous year, and industry commentators point out that finding and retaining skilled roofers remains one of the toughest obstacles [4] for contractors, with many crews stretched thin and younger workers hesitant to take on such a demanding, dangerous trade. That means helpers are needed, not surplus.
What's slowing physical automation down? Roofs are messy, sloped, weather-beaten worksites where every job is a little different, and robots like Rufus are expensive to buy, transport, and maintain compared with hiring a helper who earns a 2025 median wage of $46,680 per year, or $22.44 per hour [5]. There are also safety, insurance, and OSHA rules that must catch up before a robot can work unsupervised.
Meanwhile, the U.S. Bureau of Labor Statistics projects that overall employment of construction laborers and helpers is projected to grow 6 percent from 2025 to 2035 [5], faster than the average for all occupations, and industry workforce reports note that labor consistently ranks first among contractor concerns [6], with warnings that failure to attract needed workers will accelerate industrywide labor cost escalation. Translation: crews want more helpers, not fewer. Learning to work with drones, apps, and eventually robots like Rufus [7] is a smart way to stay valuable — but the human hands, judgment, and safety awareness a helper brings to a roof aren't going anywhere soon.
Sources

Will AI replace Helpers--Roofers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 44.7% AI Resilience Score reflects that reality. The physical work at the core of this role, hauling shingles, clearing debris, heating tar on a sloped and weather-beaten roof, is exactly where today's AI and robotics struggle most. A large Microsoft study ranked helpers-roofers among the 40 occupations least exposed to AI, specifically calling out manual labor and physically working with people as hard for AI to touch [1].
That said, the job is changing. Drones and AI tools are already handling inspections and measurements, and robots like Rufus can now install shingles alongside crews [2]. Helpers who learn to work with these tools will be more valuable, not less. AI adoption among contractors is also rising fast in back-office areas like estimating and bid management [1], but that is office work, not roof work.
The bigger concern is the economic picture. Wages and career flexibility for this role score lower than average, and the long-term job market outlook is uncertain despite real demand today. Labor shortages keep crews stretched thin [4], so helpers are needed now. The honest advice: build physical skills, get comfortable with new tools, and keep an eye on where the trade is heading.
Sources

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Latest AI news for Helpers--Roofers
The recommended articles highlight how AI is transforming the roofing industry, offering tools that enhance efficiency and safety. For instance, the AI-powered smart glasses can help roofers conduct inspections hands-free, improving communication and reducing risks. Additionally, outreach tools from Maverick AI allow commercial roofers to connect with decision-makers more effectively. Embracing these technologies can lead to better job performance and career growth, showcasing the resilience of roofing professionals in an evolving job landscape.

Zuper Adds Four AI Agents for Field Service Teams
www.roofingcontractor.com • 9/13/2026
Zuper is expanding its artificial intelligence tools for roofing and other field service contractors with four new AI agents designed to...

How a chance encounter in Texas sparked a $1 billion Kleiner Perkins-backed AI startup
fortune.com • 4/27/2026
Avoca, founded by two MIT grads, brings Silicon Valley tech to trades like plumbing, roofing, and HVAC.

Maverick AI Launches Outreach Tool for Commercial Roofers
www.roofingcontractor.com • 4/13/2026
Maverick AI has launched an outreach platform designed to help commercial roofing contractors identify and contact building decision-makers...

Local startup looks to bring roofers into the AI world
richmondbizsense.com • 2/10/2026
AI can't build a roof, but local startup founder Jonathan Michael thinks he's found a way for the emerging technology to help commercial...

Seattle startup unveils AI-powered enterprise smart glasses for roofers and electricians
www.geekwire.com • 11/5/2025
The voice-activated glasses use AI to help workers capture photos or record video, perform inspections, and communicate safely while keeping...
More Career Info
Career: Helpers--Roofers
They assist roofers by carrying materials, removing old roofing, and cleaning up to ensure roofs are built or repaired efficiently and safely.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$44,160
Jobs (2025)
6,100
Growth (2025-35)
-0.1%
Annual Openings
600
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Place tiles, nail them to roof boards, and cover nailheads with roofing cement.
2
Provide assistance to skilled roofers installing and repairing roofs, flashings, and surfaces.
3
Cover roofs with layers of roofing felt or asphalt strips before installing tile, slate, or composition materials.
4
Attach roofing paper and composition shingles, using nails.
5
Attach sheets of metal to roof boards or building frameworks when installing metal roofs.
6
Apply shingles, gravel, or asphalt over the top layer of tar to protect the roofing material.
7
Remove old roofing materials.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
